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Large scale protein modelling and model repository

¹Geneva Biomedical Research Institute, Plan-les-Ouates/Geneva, Switzerland. mcp13936@ggr.co.uk

Proceedings. International Conference on Intelligent Systems for Molecular Biology

|January 1, 1997

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The SWISS-MODEL server automates protein modeling using known structures, overcoming hardware limitations. A new SWISS-MODEL Repository database stores these theoretical protein models, integrated with other biological databases.

Area of Science:

Structural Biology
Bioinformatics
Computational Chemistry

Background:

Knowledge-based protein modeling aids rational mutagenesis but is limited by hardware and software costs.
Automated protein modeling can democratize access to structural insights.

Purpose of the Study:

To develop an automated server for knowledge-based protein modeling.
To establish a comprehensive database for theoretically generated protein models.

Main Methods:

Developed the SWISS-MODEL server for automated protein modeling.
Utilized the Brookhaven Protein Data Bank for structural information.
Created the SWISS-MODEL Repository to store generated protein models.

Main Results:

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The SWISS-MODEL server successfully generates protein models for sequences with known structural similarities.
Established the SWISS-MODEL Repository, a database of theoretical protein models.
Integrated the repository with SWISS-PROT and other databases via the ExPASy WWW server.

Conclusions:

Automated protein modeling servers reduce reliance on expensive resources.
The SWISS-MODEL Repository provides a valuable resource for structural biology research.
Integration with existing databases enhances accessibility and utility of protein models.